Journal Publications
Yan, Z., & Lu, Y.* (2025). Decomposed physics-based compressive sensing for inverse heat source detection under sparse measurements and uncertain boundary conditions. International Journal of Heat and Mass Transfer, (In press)
Zhu, T., Liu, D., & Lu, Y.* (2025). Finite-volume physics-informed U-net for flow field reconstruction with sparse data. Journal of Computing and Information Science in Engineering, 25(7).
Pan, L., Li, G., Zhang, X., Cheng, J., Liu, D., & Lu, Y.* (2025). Multi-task physics-constrained dictionary learning for efficient estimation of porosity distribution in laser powder bed fusion of copper. Journal of Manufacturing Processes, 145, 286-299.
Zhu, M., Shao, Q., Lu, X., Lu, Y., & Yue, X. (2025). Design of a variable stiffness soft gripper for flexible manufacturing with reinforced structure by multi-material 3D printing. Journal of Engineering Design, 1-21.
Zhu, M., Liu, J., Lu, Y., Hu, Z., Yuan, L., & Zhou, K. (2025). Black-Box Domain Adaptation for Cross-Domain On-Device Machinery Fault Diagnosis via Hierarchical Debiased Self-Supervised Learning. Knowledge-Based Systems, 113882.
Zhang, X., Liu, J., Zhang, X., & Lu, Y.* (2025). Self-supervised graph feature enhancement and scale attention for mechanical signal node-level representation and diagnosis. Advanced Engineering Informatics, 65, 103197.
Li, G., Lu, Y., & Liu, D. (2025). Solving Spatial-Temporal PDEs with Arbitrary Boundary Conditions Using Physics-Constrained Convolutional Recurrent Neural Networks. Neurocomputing, 129917.
Wang, J., Zhang, X., & Lu, Y.* (2025). Machine learning in image-based metal additive manufacturing process monitoring and control: A review. Engineering Science in Additive Manufacturing, 1(1), 8548.
Zhang, X., Liu, J., Zhang, X., & Lu, Y.* (2024). Multiscale Channel Attention-Driven Graph Dynamic Fusion Learning Method for Robust Fault Diagnosis. IEEE Transactions on Industrial Informatics., 20(9), 11002-11013.
Dong, B., Wang, Y., & Lu, Y.* (2024). A slicing and path generation method for 3D printing of periodic surface structure. Journal of Manufacturing Processes, 120, 694-702.
Wang, J., Liu, J., Lu, Y.*, Li, H., & Zhang, X. (2024). Machine learning-driven high-fidelity ensemble surrogate modeling of Francis turbine unit based on data-model interactive simulation. Engineering Applications of Artificial Intelligence, 133, 108385.
Zhu, T., Zheng, Q., & Lu, Y.* (2024). Physics-Informed Fully Convolutional Networks for Forward Prediction of Temperature Field and Inverse Estimation of Thermal Diffusivity. Journal of Computing and Information Science in Engineering, 1-28.
Lu, Y.*, Wang, Y., & Pan, L. (2023). A feature-based physics-constrained active dictionary learning scheme for image-based additive manufacturing process monitoring. Journal of Manufacturing Processes, 103, 261-273.
Katakol, S., Baker, T. J., Bian, Z., Lu, Y., Spahlinger, G., Hatt, C. R., & Burris, N. S. (2023). Fully automated pipeline for measurement of the thoracic aorta using joint segmentation and localization neural network. Journal of Medical Imaging, 10(5), 051810-051810.
Malashkhia, L., Liu, D., Lu, Y., & Wang, Y. (2023). Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction. Journal of Computing and Information Science in Engineering, 23(1), 011012.
Lu, Y., & Wang, Y. (2022). Structural optimization of metamaterials based on periodic surface modeling. Computer Methods in Applied Mechanics and Engineering, 395, 115057.
Lu, Y., & Wang, Y. (2021) Physics Based Compressive Sensing to Monitor Temperature and Melt Flow in Laser Powder Bed Fusion, Additive Manufacturing, 47, 102304.
Lu, Y., Shevtshenko, E. & Wang, Y. (2021) Physics Based Compressive Sensing to Enable Digital Twins of Additive Manufacturing Processes, Journal of Computing and Information Science in Engineering, 21(3), 031009.
Lu, Y., & Wang, Y. (2020) A Physics-Constrained Dictionary Learning Approach for Compression of Vibration Signals, Mechanical Systems and Signal Processing, 153, 107434.
Lu, Y., & Wang, Y. (2020). Physics Based Compressive Sensing Approach to Monitor Turbulent Flow. AIAA journal, 58(8), 3299-3307.
Lu, Y., & Wang, Y. (2019). An efficient transient temperature monitoring of fused filament fabrication process with physics-based compressive sensing. IISETransactions, 51(2), 168-180.
Lu, Y., & Wang, Y. (2018). Monitoring temperature in additive manufacturing with physics-based compressive sensing. Journalofmanufacturingsystems, 48, 60-70.
Chan, S. L., Lu, Y., & Wang, Y. (2018). Data-driven cost estimation for additive manufacturing in cybermanufacturing. Journalofmanufacturingsystems, 46, 115-126.
Refereed Conference Publications
Yu, D., Wang, H., & Lu, Y.* “DRCSA: A dimensionality reduction channel-spatial attention model for MRI-based brain tumor recurrence prediction.” Proceedings of the 2025 IISE Annual Conference, May 31- June 3, 2025.
Yeung, C., Ng, K., & Lu, Y.* “Numerical approach for modelling defect effects on the exhaust gas temperature of gas turbine.” Proceedings of the 2025 IISE Annual Conference, May 31- June 3, 2025.
Yin, X., Dong, B., & Lu, Y.* “4D printing of shape-tunable blood vessels with magnetic stimuli-responsive hydrogels.” Proceedings of the 2025 IISE Annual Conference, May 31- June 3, 2025.
Li, G., Lu. Y., and Liu. D., “Physics-Constrained Convolutional Recurrent Neural Networks for Solving Spatial-Temporal PDEs with Arbitrary Boundary Conditions”, Proceedings of the ASME 2024, International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, August 25-28, 2024, Washington, DC, USA.
Lu, Y., and Wang, Y. “Active Physics-Constrained Dictionary Learning to Diagnose Nozzle Conditions in Fused Filament Fabrication Process”, 51st SME North American Manufacturing Research Conference, June 12-16, 2023, New Brunswick, New Jersey.
Hong, S., Lu. Y., Dunninga, R., Ahn, S., and Wang, Y. “Adaptive Fusion based on Physics-Constrained Dictionary Learning for Fault Diagnosis of Rotating Machinery”, 51st SME North American Manufacturing Research Conference, June 12-16, 2023, New Brunswick, New Jersey.
Katakol, S., Bian, Z., Lu, Y., Spahlinger, G., Hatt, C. R., and Burris, N. S. “Fully automated aortic measurements via CNN-based joint segmentation and localization.” In Medical Imaging 2023: Computer-Aided Diagnosis (Vol. 12465, pp. 248-252). SPIE, Feb. 19-23, 2023, San Diego, California, USA.
Lu. Y., and Wang, Y. “Temperature Field Monitoring in Fused Filament Fabrication Process Based on Physics-Constrained Dictionary Learning.” Proceedings of the ASME 2022 International Additive Manufacturing Conference, Oct. 19-20, 2022 Lisbon, Portugal.
Lu. Y., and Wang, Y. “Concurrent Shape and Topology Optimization of Metamaterials Based on Periodic Surface Modeling.” Proceedings of the ASME 2022 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Aug. 14-17, 2022, St. Louis, Missouri.
Bian, Z., Zhong, J., Lu. Y., Hatt, C., and Burris, N. “LitCall: Learning Implicit Topology for CNN-based Aortic Landmark Localization.” Proceedings of Medical Imaging 2022, Feb. 20-23, 2022, San Diego, California.
Lu, Y., and Wang, Y. “Machine Fault Diagnosis of Fused Filament Fabrication Process with Physics-Constrained Dictionary Learning.” Proceedings of 49th Annual North American Manufacturing Research Conference (NAMRC 49), June 21-25, 2021, Cincinnati, Ohio.
Lu, Y., and Wang, Y. “Physics-Constrained Dictionary Learning for Selective Laser Melting Process Monitoring.” Proceedings of the 2021 IISE Annual Conference, May 22-25, 2021.
Lu Y. and Wang Y. “An improvement of physics based compressive sensing with domain decomposition to monitor temperature in fused filament fabrication process.” Proceedings of 2019 ASME 14th International Manufacturing Science and Engineering Conference (MSEC2019), June 10-14, 2019, Erie, Pennsylvania, Paper No. MSEC2019-2899.
Song R., Lu Y., Telenko C., and Wang Y. “Manufacturing energy consumption estimation using machine learning approach.” Proceedings of 2017 ASME International Design Engineering Technical Conferences & Computers and Information in Engineering Conference (IDETC/CIE2017), Aug. 6-9, 2017, Cleveland, Ohio, Presentation No. DETC2017-67679 (Design for Manufacturing and Life Cycle Conference Student Poster Competition Award 2nd Place)
Liu J., Hu Y., Lu Y., Wang Y., Xiao L., and Zheng K. “A remote health condition monitoring system based on compressed sensing.” Proceedings of 2017 IEEE International Conference on Mechanical, Systems and Control Engineering (ICMSC 2017), May 19-21, 2017, St. Petersburg, Russia.
Refereed Book Chapters
Liu, D., Lu, Y., & Wang, Y. (2025). 4 Physics-informed machine learning for metal additive manufacturing. Machine Learning for Powder-Based Metal Additive Manufacturing, 77.
Sestito J.M., Liu D., Lu Y., Song J.-H., Tran A.V., Kempner M.J., Harris T.A.L., Ahn S.- H., & Wang Y. (2021): “Multiscale process modeling of shape memory alloy fabrication with directed energy deposition”. Manufacturing in the Era of 4th Industrial Revolution – Vol. 1. Recent Advances in Additive Manufacturing, eds. by H. Bruck, Y. Chen, and S.K. Gupta (World Scientific), Ch.3, pp. 41-76.
Patents